A Comparison of Methods for Estimating Conditional Item Score Differences in Differential Item Functioning (DIF) Assessments DIF
- Author(s):
- Moses, Tim P.; Miao, Jing; Dorans, Neil J.
- Publication Year:
- 2010
- Report Number:
- RR-10-15
- Source:
- ETS Research Report
- Document Type:
- Report
- Page Count:
- 43
- Subject/Key Words:
- Differential Item Functioning (DIF), Kernel Smoothing, Loglinear Models, Logistic Regression
Abstract
The loglinear models strategy had flexibility advantages, but these advantages only offset the greater variability of its estimates and its reduced statistical power when sample sizes were large. The kernel smoothing estimation strategy was the least accurate of the considered strategies due to estimation problems when the reference and focal groups differed in overall ability.
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- http://dx.doi.org/10.1002/j.2333-8504.2010.tb02222.x